Lifecycle and circular economy assessment of bio based retrofitting strategies for heritage buildings using case studies from Iran, Oman and Saudi Arabia
イラン、オマーン、サウジアラビアの事例研究に基づく歴史的建築物のバイオベース改修戦略のライフサイクルと循環経済評価 (AI 翻訳)
By Marjan Ilbeigi, Mohamed Alnejem, Mozhgan Karimi, Samaneh Safaripoor, F. Khalili, Elyas Jahanshahi, Yaqoob Al Hindasi
🤖 gxceed AI 要約
日本語
本研究は、ライフサイクル評価（LCA）、循環経済（CE）評価、多基準意思決定分析（MCDA）、人工ニューラルネットワーク（ANN）モデリングを統合した枠組みを提案し、イラン、オマーン、サウジアラビアの3つの歴史的建築物を対象にバイオベース改修戦略を評価した。循環最適化戦略が最も高い持続可能性性能を示し、50年間で最大720トンのCO2削減と80,000～95,000ドルのコスト削減を達成した。ANNモデルにより最適戦略の予測と感度分析が行われた。
English
This study proposes an integrated framework combining Lifecycle Assessment (LCA), Circular Economy (CE) evaluation, Multi-Criteria Decision Analysis (MCDA), and Artificial Neural Network (ANN) modeling to assess bio-based retrofitting strategies for heritage buildings in Iran, Oman, and Saudi Arabia. The circular-optimized strategy achieved the highest sustainability performance, delivering up to 720 tons of CO2 savings and $80,000–$95,000 in cost savings over 50 years. The ANN model predicted the optimal strategy and conducted sensitivity analysis.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では文化財保存と脱炭素の両立が課題となっており、バイオベース材料と循環経済を活用した改修手法は参考になる。ANNによる最適化手法は、多様な条件での意思決定支援に有用である。ただし、中東の事例を基にしているため、日本の気候・建築特性に合わせた調整が必要。
In the global GX context
This paper demonstrates that heritage conservation and decarbonization can be aligned through bio-based retrofitting and circular economy principles. The use of ANN for optimization offers a replicable methodology for sustainable building retrofits globally. It contributes to the growing literature on AI-driven sustainability assessment in the built environment.
👥 読者別の含意
🔬研究者:Provides a novel integrated methodology combining LCA, CE, MCDA, and ANN for heritage building sustainability assessment.
🏢実務担当者:The proposed framework can guide building owners and conservation authorities in selecting cost-effective and environmentally friendly retrofitting strategies.
🏛政策担当者:Supports the inclusion of circular economy principles in heritage building regulations and subsidies for bio-based materials.
📄 Abstract（原文）
The sustainable retrofitting of heritage buildings presents a unique challenge in aligning environmental performance with cultural preservation. This study proposes an integrated framework combining Lifecycle Assessment (LCA), Circular Economy (CE) evaluation, Multi-Criteria Decision Analysis (MCDA), and Artificial Neural Network (ANN) modeling to assess Bio-Based retrofitting strategies for historical structures. Three case studies Ganjali Khan Complex (Iran), Bait Al Zubair (Oman), and Al-Balad District (Saudi Arabia) were selected to represent diverse climatic and cultural contexts. Retrofitting scenarios including Traditional, Bio-Based, and Circular-Optimized approaches were compared based on four main criteria: Global Warming Potential (GWP), Circularity Score, Retrofit Cost, and Heritage Compatibility. Bio-Based materials were selected based on low embodied carbon, biodegradability, and local availability. The LCA was performed using MATLAB and international databases (Ecoinvent, OneClick LCA, ICE) to assess embodied emissions of retrofit materials (Modules A1–A3), operational energy use of the building (Module B6), and end-of-life treatment of retrofit materials (Modules C1–C4). The Material Circularity Indicator (MCI) model was used to evaluate circularity performance. Scenario ranking was performed using the TOPSIS method, while ANN modeling predicted the optimal retrofit strategy and conducted sensitivity analysis. Results indicate that the Circular-Optimized retrofit strategy achieves the highest overall sustainability performance across case studies, delivering significant lifecycle CO₂ reductions and long-term cost savings. Over a 50-year assessment period, cumulative CO₂ savings reach up to 720 tons per building, while financial savings range between $80,000 and $95,000. The findings demonstrate that integrating circular principles with bio-based materials can enhance environmental performance without compromising heritage compatibility. The proposed methodology offers a replicable model for sustainable conservation, bridging the gap between architectural heritage and environmental resilience.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1038/s41598-026-47375-zfirst seen 2026-06-29 07:32:26
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